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Exponential Distribution Example
7 minus 2, this is 5. Erlang distribution. If you like this Page, please click that +1 button, too. Example 2: Exponential Cumulative Distribution Function (pexp Function) We can also use the R programming language to return the corresponding values of the exponential cumulative distribution function for an input vector of quantiles. The value of µ is the parameter of the distribution. The formula above is known as the Erlang-B formula,. Example: Suppose a fast food restaurant can expect two customers every 3 minutes, on average. HA: µ>µ0 for an random sample form a population that is normally distributed (where σ2 is unknown). For example, let E be "the probability that a die roll is even" and F be "the probability that a die roll is greater than 3". Returns the exponential distribution. For example, it has been used to model the length of stay in a hospital bed, or the time between presentations to an emergency department. To the right, I have plotted Probability Density Functions and the corresponding Cumulative Density Functions for Exponential Distributions with different values of. You have observed that the number of hits to your web site follow a Poisson distribution at a rate of 2 per day. Note that dlogf(x)/dx < 0 for all x > 0, so f(x) is a monotonically de- creasing function all the time. computed for an Exponential distribution in example 1–1. Then, your X will be equal to 185 cm. *FREE* shipping on qualifying offers. Distribution is the process of selling and delivering products and services to customers. 1) = 1 - e-(0. We need to use conditional probability, or, if you have done it, the memorylessness of the exponential. Michael Fowler. The exponential distributions for (red), (black), and (blue). You either will win or lose a backgammon game. which implies that the estimate should be ^ = X (as long as we check that the function lis actually concave, which it is). Becasue the exponential distribution is in the domain of attraction of the Gumbel distribution, the cdf oiTi — k log(n) converges to. 16 The Exponential Distribution Example: 1. Differentiation of Exponential and Logarithmic Functions Exponential functions and their corresponding inverse functions, called logarithmic functions, have the following differentiation formulas: Note that the exponential function f ( x ) = e x has the special property that its derivative is the function itself, f ′( x ) = e x = f ( x ). Length of time between arrivals at a gas station 3. 2 below, is used for theory that requires a complete sufficient statistic. Assuming an exponential time to fail distribution, estimate the mean time to fail and the mean failure rate. You are an investment analyst, and you have information that mortgage lenders are failing continuously at 5% per year. Exponential distribution models the interval of time between the calls. Michael Fowler. exp for the exponential function, dgamma for the gamma distribution and dweibull for the Weibull distribution, both of which generalize the exponential. A simple example of the discrete. focus in this example is on the way the properties of the exponential distribution allow us to proceed with the calculations. This tip focuses on how to code and interpret Chi Square test results for goodness-of-fit to an exponential distribution. For the example, we'll use r=0. Many of the distributions we have studied on this website can be handled as for the exponential distribution described above. DIST to determine the probability that the process takes at most 1 minute. Properties depend on value of "a". How to fit exponential decay – An example in Python Linear least squares can be used to fit an exponent. Expressed in terms of a designated power of. { If ris a positive integer, the. For example, if you flip a coin, you either get heads or tails. The Q-cycle mechanism entering the electron and proton transport chain in oxygenic photosynthesis is an example of how biological processes can be efficiently investigated with elementary. This distribution is properly normalized since. Dhillon University of Texas at Austin Learning with Bregman Divergences Exponential Families of Distributions Definition: A regular exponential family is a family of probability distributions. We simulate both event times from a Weibull distribution with a scale parameter of 1 (this is equivalent to an exponential random variable). Since the exponential distribution is a special case of the gamma distribution, the starting point of the discussion is on the properties that are inherited from the gamma distribution. An insurance reimburses this random loss up to a benefit limit of 30. The exponential distribution is the only continuous memoryless random distribution. Populations by year are listed in the table below. Becasue the exponential distribution is in the domain of attraction of the Gumbel distribution, the cdf oiTi — k log(n) converges to. this purpose, the exponential distribution is applied to relatively short time periods during which the arrival rate is not dependent on time of day (for example, the model could progress in 1 hour service intervals representing slow, moderate, and peak demand, each governed by an exponential distribution with an appropriate mean. The data in the table below are 55 smiling times, in seconds, of an eight-week-old baby. The Exponential Distribution The Exponential Distribution Example: Al's Full-Service Pump The time between arrivals of cars at Al's full-service gas pump follows an exponential probability distribution with a mean time between arrivals of 3 minutes. Exponential Equations - examples of problems with solutions for secondary schools and universities. measurements come from the same distribution; the alternative hypothesis is that there is a di⁄erence between the two samples. It may be possible to pass the CRE exam knowing one formula. We have: Problem A-3. The exponential distribution (also called the negative exponential distribution) is a probability distribution that describes time between events in a Poisson process. Therefore the equation can be written (6 1) 3x 2 = (62)x+1 Using the power of a power property of exponential functions, we can multiply the exponents: 63x+2 = 62x+2 But we know the exponential function. The Exponential Distribution The Exponential distribution, sometimes known as the Negative Exponential distribution, is related to the Geometric and Poisson discrete distributions. f(x) = λ {e}^{- λ x} for x ≥ 0. We will see how to prove that the skewness of an exponential distribution is 2. For example, the lognormal distribution is a transformation from the normal distribution where the transformation is an exponential function. For example, we might measure the number of miles traveled by a given car before its transmission ceases to function. Half of that, or 2. Exponential Organizations Are The Future Of Global Business And Innovation Michael S. Exponential random variables are often used to model waiting times between events. A Simple Example: Exponential Distribution • Let Z be exponential random variable with mean θ. With an exponential business model, we think in terms of changes that are 10 times greater or lesser than today's value—the common shorthand for this goal is simply "10X. For the example, we'll use r=0. No environmental (spatial and temporal) variation 4. Figure 1: Exponential Density in R. Take an interval, for example [0,1]. Integrating the exponential function, of course, has the opposite effect: it divides by the constant in the exponent: ∫ e a x d x. Other examples include the length, in minutes, of long distance business telephone calls, and. N represents a perfect census Discrete versus Continuous Models. For example, it would not be appropriate to use the exponential distribution to model the reliability of an automobile. 0 0 3 6 Exponential distribution with λ=2 8 Example 2. Using the above exponential distribution curve calculator, you will be able to compute probabilities of the form \(\Pr(a \le X \le b)\), with its respective exponential distribution graphs. The exponential distribution The exponential distribution is defined by f(t) = λe−λt t ≥ 0 λ a constant or sometimes (see the Section on Reliability in 46) by f(t) = 1 µ e−t/µ t ≥ 0 µ a constant The advantage of this latter representation is that it may be shown that the mean of the distribution is µ. Here, , the space is and is. For example, you can use EXPON. The exponential distribution is the only distribution to have a constant failure rate. N represents a perfect census Discrete versus Continuous Models. The primary example of a pivotal quantity is g(X,µ) = X n −µ S n/ √ n (1. "Formal Bayes" posterior distribution obtained as a limit of a proper Bayes procedure. Exponential distribution Calculator - High accuracy calculation Welcome, Guest. 1 Moments and Moment Generating Functions For the exponential distribution we have fX(x) The pdf obtained in Example 1. Return to Exercises. For example, it has been used to model the length of stay in a hospital bed, or the time between presentations to an emergency department. An insurance reimburses this random loss up to a benefit limit of 30. Young and Young (198) give an example of how the exponential distribution can also model space between events (instead of time between events). But by the and a. Suppose that this distribution is governed by the exponential distribution with mean 100,000. For the example, we'll use r=0. You have observed that the number of hits to your web site follow a Poisson distribution at a rate of 2 per day. Differentiation of Exponential Functions. of this chapter is the simplicity and elegance of exponential family. We have: Problem A-3. The exponential distribution is a special case of the gamma distribution. The Exponential Family of Distributions p(x)=h(x)e To get a normalized distribution, for any µ Example: Dirichlet and Multinomial. Exponential and logarithmic functions. The Exponential Distribution The Exponential distribution, sometimes known as the Negative Exponential distribution, is related to the Geometric and Poisson discrete distributions. R(t) = e- tλ 16 What if Failure Rate Not Constant? • Distribution Failure Rate h(t) Behavior Normal Increasing Function. Suppose that X has the gamma distribution with shape parameter k and scale. Exponential distribution. First express the event of interest in terms of the exponential martingale, then use the Kolmogorov-Doob inequality and after this choose the parameter \(\alpha\) to get the best bound. Measure the skin surface area. distribution. Therefore, the number of generalizations of the exponential distribution has been proposed in earlier literature where the exponential distribution is not suitable to the real problem. One important distribution that we will examine is the exponential distribution. The exponential distribution is particularly convenient for mathematical modeling, because it implies a fixed rate of occurrence. Erlang distribution. The primary example of a pivotal quantity is g(X,µ) = X n −µ S n/ √ n (1. Figure 83, Exponential Distribution shows a distribution of the probability that x number of time units (10 minutes in this case) will pass between calls. When the shape value reaches 2, the Weibull distribution models a linearly increasing failure rate, where the risk of wear-out failure increases steadily over the product's lifetime. Example 2: Exponential Cumulative Distribution Function (pexp Function) We can also use the R programming language to return the corresponding values of the exponential cumulative distribution function for an input vector of quantiles. For example, it has been used to model the length of stay in a hospital bed, or the time between presentations to an emergency department. Posterior Predictive Distribution in Regression Example 3: In the regression setting, we have shown that the posterior predictive distribution for a new response vector y∗ is multivariate-t. This feature of the exponential distribution also implies a constant hazard rate. Similarly, the lambda parameter for the Poisson distribution can be estimated by the sample mean. Michael Fowler. 3 Properties of exponential distribution a. An insurance company believes that people can be divided into two classes: those who are accident prone and those who are not. Binomial distribution Model the number of successes that can occur in a certain number of attempts when only two outcomes are possible (heads‐or‐tails coin‐flip, for example). The exponential distribution deals with the amount of time for a specific event to occur. Most of the generalizations of the exponential distribution possess the constant, nonincreasing, nondecreasing and. General Advance-Placement (AP) Statistics Curriculum - Exponential Distribution Exponential Distribution. from an exponential distribution. Other examples include the length, in minutes, of long distance business telephone calls, and the amount of time, in months, a car battery lasts. The exponential distribution fits the examples cited above because it is the only distribution with the. In a rectangular distribution all values within a range between a and b are equally likely. Or copy & paste this link into an email or IM:. It describes many common situations, such as the size of raindrops measured over many rainstorms [1] , or the time between page requests to Wikipedia [2]. , size) structure 3. DIST to determine the probability that the process takes at most 1 minute. 2: Each observation is independent. The value of µ is the parameter of the distribution. Exponential Decay: y = a e-bx, b > 0. The exponential distribution was used an example. The life, in years, of a certain type of electrical switch has an exponential distribution with an average life β = 2. This not exactly a exponential probability density calculator, but it is a cumulative exponential normal distribution calculator. All that being said, cars passing by on a road won't always follow a Poisson Process. Gamma Distribution Exponential Distribution Other Distributions Exercises Gamma function Probability distribution function Moments and moment generating functions Cumulative Distribution Function Example 4. Here is an example of The Exponential distribution:. Introduction; The Gaussian Distribution; The Gaussian Tail Distribution; The Bivariate Gaussian Distribution; The Multivariate Gaussian Distribution; The Exponential Distribution; The Laplace Distribution; The Exponential Power Distribution; The Cauchy Distribution; The Rayleigh Distribution. Recall that the distribution function F(x) = P(X • x) by. In one example, a hypothetical, 62-year-old middle-income couple earns a combined $100,000 and has $350,000 in retirement savings. The exponential distribution is strictly related to the Poisson distribution. Uniform Distribution: If a 0. Relation to Erlang and Gamma Distribution e. The Exponential Distribution. Each trial is assumed to have only two outcomes, either success or failure. This simple example demonstrates that preventive maintenance actions do not improve the overall reliability of components that fail at a constant rate (i. You assume that these lifetimes follow an exponential distribution. For example, x 2 is an exponential expression while x is not an exponential expression. For example the, remain the same at the accuracy of for p ranging from 2. NCL: Probability Distribution Functions The probability distribution (frequency of occurrence) of an individual variable, X , may be obtained via the pdfx function. This form of the Weibull distribution is also known as the Rayleigh distribution. This section describes functions related to exponential and logarithmic calculations. This special Rlab implementation allows the parameter beta to be used, to match the function description often found in textbooks. The next step is not really related to exponential distribution yet is a feature of using reliability and RBDs. If Y = 2X 1 nd the pdf of Y. We aim to provide guidance on analysing resource use and costs focusing on randomised trials, although. In studying this part we can recognize that log(( X)) is a function of X , and so we will need to study the role of this function and what results from it. Exponential Distribution The exponential distribution is often used to model the reliability of electronic systems, which do not typically experience wearout type failures. The most celebrated example of a general exponential family is the family of the normal distributions on , where the mean and the variance are both unknown parameters (cf. 1 Solve 1 6 3x 2 = 36x+1. ) Your conditional time in the queue given the system state N = 3 upon. For example, let's say a Poisson distribution models the number of births in a given time period. You are an investment analyst, and you have information that mortgage lenders are failing continuously at 5% per year. As with single random variable discrete probability distribution, a discrete joint probability distribution can be tabulated as in the example below. • qexp(p, r) —Returns the inverse cumulative probability distribution for probability p. Exponential and logarithmic functions. This means, for example, that the exponential distribution is parameterized in terms of its mean, not its rate. An example • Experiment: sample a U. But by the and a. exponential taken from open source projects. Exponential distribution quiz questions and answers pdf, if μ is equal to 8 then standard deviation of exponential probability distribution is, with answers for business analyst certifications. Introduction. The property is derived through the following proof:. Example: Suppose a fast food restaurant can expect two customers every 3 minutes, on average. The probability distribution can be modeled by the exponential distribution or Weibull distribution, and it's memoryless. Measure the skin surface area. Parameters. Scientific website about: forecasting, econometrics, statistics, and online applications. Exponential random variables are often used to model waiting times between events. One is being served and the other is waiting. If Y = p X nd the pdf of Y. this purpose, the exponential distribution is applied to relatively short time periods during which the arrival rate is not dependent on time of day (for example, the model could progress in 1 hour service intervals representing slow, moderate, and peak demand, each governed by an exponential distribution with an appropriate mean. Example: Let's take the example when x = 2. Examples include • patient survival time after the diagnosis of a particular cancer, • the lifetime of a light bulb,. Diamandis] on Amazon. From the expected life of a machine to the expected life of a human, exponential distribution successfully delivers the result. This form of the Weibull distribution is also known as the Rayleigh distribution. On the contrary, the mean service time is fixed, at the inverse of the rate. Their service times S1 and S2 are independent, exponential random variables with mean of 2 minutes. When try such calculations on your own, use this exponential distribution calculator to verify your results. To find the marginal density of , for each applicable , we need to sum out the. Explicit expressions for some of its basic mathematical properties like moments, moment generating function,. 3 0 10 20 Exponential distribution. The Poisson distribution gives the number of events with a rate. Asymptotic unbiasedness is necessary for. Recent Examples of exponential from the Web. For example, the parameters for the normal distribution can be estimated by the sample mean and standard deviation. Using the above exponential distribution curve calculator, you will be able to compute probabilities of the form \(\Pr(a \le X \le b)\), with its respective exponential distribution graphs. The exponential distribution fits the examples cited above because it is the only distribution with the. The results are. It is a continuous analog of the geometric distribution. orF example, the amount of time (beginning now) until an earthquake occurs has an exponential distribution. With C++11 the standard actually guarantees that there is a RNG following the requirements of exponential-distribution available in the STL, and fittingly the object-type has a very descriptive name. The first two worked examples displayed exponential growth; the last example above displays exponential decay; and the following displays exponential growth again. Click Create Assignment to assign this modality to your LMS. exponential parameter). 2 below, is used for theory that requires a complete sufficient statistic. If μ is the mean waiting time for the next event recurrence, its probability density function is: Here is a graph of the exponential distribution with μ = 1. The above worksheet is an walk through to understand the concept of Exponential Distribution and the example problem shows how to calculate the Exponential distribution for the given data. EXPONENTIAL DISTRIBUTION 0. When the average arrival rate is and the arrivals occur independently, then the time between arrivals has an Exponential distribution characterized by the single positive parameter. 4) is difficult to The ratio of factorial functions in eq. Each trial is assumed to have only two outcomes, either success or failure. For example, the amount of time until the next rain storm likely has an exponential distribution. Hypothisis Testing – Exponential Distribution Six Sigma – iSixSigma › Forums › Old Forums › General › Hypothisis Testing – Exponential Distribution This topic contains 18 replies, has 9 voices, and was last updated by Jonathon Andell 14 years, 11 months ago. If we let X equal the number of students, then the Poisson mean λ is 30 students per 60 minutes, or 1/2 student per minute! Now, if we let W denote the (waiting) time between students, we can expect that there would be, on average, θ = 1/ λ = 2 minutes between arriving students. Calculates the percentile from the lower or upper cumulative distribution function of the exponential distribution. When discussing how much mass is in the tail of a probability density function, it is convenient to use the exponential distribution as a reference. Click Create Assignment to assign this modality to your LMS. Duration between two phone calls. failures per cycle. The Exponential Distribution. Many real life and business situations are a pass-fail type. The following are examples of organic growth. An insurance reimburses this random loss up to a benefit limit of 30. DIST to model the time between events, such as how long an automated bank teller takes to deliver cash. The results have been binned in the figure in increments of 200. by Marco Taboga, PhD. Other examples are: 1. Java example source code file: ExponentialDistribution. Random Sums of Exponential Random Variables 4. 4 Counting processes and the Poisson distribution. Some Useful Integrals of Exponential Functions. Exponential distribution definition: a continuous single-parameter distribution used esp when making statements about the | Meaning, pronunciation, translations and examples. Figure 1: Exponential Density in R. 2 Exponential Distribution A continuous random variable with positive support A ={x|x >0} is useful in a variety of applica-tions. Suppose we want to approximate an exponential distribution. Therefore the equation can be written (6 1) 3x 2 = (62)x+1 Using the power of a power property of exponential functions, we can multiply the exponents: 63x+2 = 62x+2 But we know the exponential function. If Y = p X nd the pdf of Y. 4 Counting processes and the Poisson distribution. The gamma distribution with parameters k = 1 and b is called the exponential distribution with scale parameter b (or rate parameter r = 1 b). In an exponential distribution, the probability is DECREASING exponentially -- hence little risk that service time will grow. Similarly, the lambda parameter for the Poisson distribution can be estimated by the sample mean. follows an exponential distribution. To use, for example, the exponential distribution with a mean value of 4 you can enter the full name and parameter, UNIFORM(4) , or the shortened name (first four letters) and parameter, UNIF(4). As an instance of the rv_continuous class, expon object inherits from it a collection of generic methods (see below for the full list), and completes them with details specific for this particular distribution. Delaying retirement, even if for a few years, can significantly. The CLT says that as sample size increases, the distribution of averages of iid variables (given they are normalized) approaches a standard normal distribution. • Moment generating function: φ(t) = E[etX] = λ λ− t , t < λ • E(X2) = d2. When the average arrival rate is and the arrivals occur independently, then the time between arrivals has an Exponential distribution characterized by the single positive parameter. An exponential distribution is a special case of a gamma distribution with $ \alpha = 1 $ (or $ k=1 $ depending on the parameter set used). Here are the examples of the python api numpy. Weibull distribution and piece-wise exponential distribution. From the expected life of a machine to the expected life of a human, exponential distribution successfully delivers the result. We have: Problem A-3. Remember that in this example time, t, is 1,000. The Poisson Distribution The following video will discuss a situation that can be modeled by a Poisson Distribution, give the formula, and do a simple example illustrating the Poisson Distribution. The exponential distribution is special because of its utility in modeling events that occur randomly over time. Case 3 - Exponential Example If the unmodified loss has an exponential distribution, then we have the following results: Case 4 This is the case that the insurance policy has both a policy cap and a deductible. Take an interval, for example [0,1]. Height is one simple example of something that follows a normal distribution pattern: Most people are of average height. Also note that the Failure Rate vs. Click Create Assignment to assign this modality to your LMS. 5t, t ≥ 0, = 0, otherwise. Figure 1: Exponential Density in R. For example the, remain the same at the accuracy of for p ranging from 2. Minimum of several exponential random variables d. But just to make this in real numbers, if I had 7 factorial over 7 minus 2 factorial, that's equal to 7 times 6 times 5 times 4 times 3 times 3 times 1. This article presents you with the definition and some examples of exponential distribution, as well as with the exponential distribution formula and an example of applying it in real life. Several examples, with detailed solutions, involving products, sums and quotients of exponential functions are examined. Normal distribution and Gamma distribution The normal, exponential, gamma, chi-square, beta, weibull (if the shape parameter is known), dirichlet, bernoulli, binomial, multinormal, poisson, negative binomial, and geometric distributions are all exponential families. The time between failures in a hemming machine modeled with the exponential distribution has a MBT rate of 112. Examples 16. { If ris a positive integer, the. On a chart, this curve starts slowly, remaining nearly flat. The uniform distribution is useful because it represents variables that are evenly distributed over a given interval. In Example 4, is an exponential distribution with being a scale parameter. Here is an example of The Exponential distribution:. Other examples include the length, in minutes, of long distance business telephone calls, and the amount of time, in months, a car battery lasts. Chapter 9: Distributions: Population, Sample and Sampling Distributions. Also the Exponential distribution can be interpretted as the. By voting up you can indicate which examples are most useful and appropriate. In this case, the former is equal to 17. x/is the "underlying measure", ensures xis in the right space a. CS 547 Lecture 9: Conditional Probabilities and the Memoryless Property Daniel Myers Joint Probabilities For two events, E and F, the joint probability, written P(EF), is the the probability that both events occur. Effect of Shape parameter B on Weibull distribution: If the shape parameter B is 1, it becomes identical to exponential distribution. The exponential distribution is the only continuous memoryless random distribution. It is a continuous analog of the geometric distribution. Some Useful Integrals of Exponential Functions. As an instance of the rv_continuous class, expon object inherits from it a collection of generic methods (see below for the full list), and completes them with details specific for this particular distribution. The true mean lifetime of the filaments is known to be 1,000 hours. it describes the inter-arrival times in a Poisson process. x/is the "underlying measure", ensures xis in the right space a. Introduction; The Gaussian Distribution; The Gaussian Tail Distribution; The Bivariate Gaussian Distribution; The Multivariate Gaussian Distribution; The Exponential Distribution; The Laplace Distribution; The Exponential Power Distribution; The Cauchy Distribution; The Rayleigh Distribution. By voting up you can indicate which examples are most useful and appropriate. Using the above exponential distribution curve calculator, you will be able to compute probabilities of the form \(\Pr(a \le X \le b)\), with its respective exponential distribution graphs. Parameters. If there's a traffic signal just around the corner, for example, arrivals are going to be bunched up instead of steady. You can vote up the examples you like or vote down the ones you don't like. dexp gives the density, pexp gives the distribution function, qexp gives the quantile function, and rexp generates random deviates. From the expected life of a machine to the expected life of a human, exponential distribution successfully delivers the result. The variation in housing prices is a positively skewed distribution. 4 Pielou™s data on Armillaria root rot in Douglas -r trees The data below were collected by the ecologist E. This article presents you with the definition and some examples of exponential distribution, as well as with the exponential distribution formula and an example of applying it in real life. (adjective) An example of exponential is 25 being shown as 5x5. It means the slope is the same as the function value (the y -value) for all points on the graph. This is an example of a geometric distribution. - The hazard function, used for regression in survival analysis, can lend more insight into the failure mechanism than linear regression. An insurance reimburses this random loss up to a benefit limit of 30. 27 page 193 Andreas Artemiou Chapter 4 - Lecture 4 The Gamma Distribution and its Relatives. for ECE662: Decision Theory. std::exponential_distribution satisfies RandomNumberDistribution. Suppose that this distribution is governed by the exponential distribution with mean 100,000. In this simulation, you will investigate the distribution of averages of 40 exponential(0. 0 0 3 6 Exponential distribution with λ=2 8 Example 2. The exponential distribution is not the same as the class of exponential families of distributions, which is a large class of probability distributions that includes the exponential distribution as one of its members, but also includes the normal distribution, binomial distribution, gamma distribution, Poisson, and many others. Examples of arrival or waiting times in Poisson processes that could be analyzed with the exponential distribution are. Adelchi Azzalini The Gamma family is parametrised in glm() by two parameters: mean and dispersion; the "dispersion" regulates the shape. Example 3 The experiment Simulate the throwing of a needle into a grid of parallel lines, say N times If X follows an exponential distribution with parameter. Is it reasonable to model the longevity of a mechanical device using exponential distribution? For example, if the device has lasted nine years already, then memoryless means the probability that it will last another three years (so, a total of 12 years) is exactly the same as that of a brand-new machine lasting for the next three years. Excel supplies several statistical functions for working with probability distributions. 159 elamanis hotel essay examples from academic writing company EliteEssayWriters. To see why this is the case, suppose a system begins in State 0 at the initial time t = 0, and it will change to State 1 at the time t = T, where T is to be randomly drawn from an exponential distribution. Exponential distribution multiple choice questions and answers (MCQs), exponential distribution quiz answers pdf to learn MBA statistics online courses. The exponential distribution fits the examples cited above because it is the only distribution with the. 1 The exponential family Given a measure η, we define an exponential family of probability distributions as those. Exponential growth is a pattern of data that shows greater increases with passing time, creating the curve of an exponential function. As an example, the energy distribution in voxels for 300 MeV protons and 1000 MeV/n irons calculated by the code RITRACKS are illustrated in Figure 3. For example, you can use EXPON. The exponential distribution can be simulated in R with rexp(n, lambda) where lambda is the rate parameter. Malone, Yuri van Geest, Peter H. Use exponentially when you want to say that something's increasing quickly by large amounts. A random loss follows an exponential distribution with mean 100. Length of time beteeen metro arrivals, 2. x/is the "underlying measure", ensures xis in the right space a. " Understanding the mechanics behind business models is one of the most important new skills that all innovative leaders must develop. The Exponential Distribution allows us to model this variability. Exponential Distribution on Brilliant, the largest community of math and science problem solvers. The probability density dexp and cumulative distribution pexp are defined on the non-negative reals.


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U.S. Department of Justice officials based in Sacramento say that a federal investigation into construction contracts awarded by Fresno Unified School District is over and no charges will be filed.
The probe, which was launched in August 2015, began with a federal grand jury subpoena of district records related to its use of lease-leaseback contracts to build and renovate schools.
"We believe that they came to the correct conclusion and the district is certainly pleased that this chapter is closed," attorney Carl M. Faller of Fresno, a former assistant U.S. Attorney who represented Fresno Unified in the criminal investigation, said Friday.
Faller said he believed that federal officials made the announcement because of "the significant amount of public discussion" about the investigation.
"They rightfully decided to notify the public when it was concluded, and we very much appreciate that," Faller said.
Fresno Unified officials have steadfastly maintained that the contracts were legal and that no district employees engaged in wrongdoing.
Three months before the federal inquiry began, the Fifth District Court of Appeal reversed a Fresno Superior Court decision in a lawsuit challenging Fresno Unified's award of a $37 million contract to build Rutherford B. Gaston Middle School to Harris Construction.
The appeal court based part of its reversal on finding that the contract between Fresno Unified and Harris wasn't a "true" lease because the contractor didn't finance the project.
However, two other California appellate courts have since ruled that lease-leaseback is exempt from competitive bidding requirements and the law governing leaseback construction doesn't require a true lease and contractor financing.
That lawsuit, filed by Stephen Davis of Davis Moreno Construction Inc., is scheduled to be heard by a Fresno judge beginning in July.
The federal subpoena required Fresno Unified to provide financial documents involving its leaseback contracts. The district switched from competitive bidding to the leaseback mechanism under then-Superintendent Michael Hanson following voter passage of the $280 million Measure Q bond in 2010.
In the leaseback arrangement, a district forgoes the traditional competitive bid process. Instead, it hires a firm to front the cost of a project and repay the contractor over time. Fresno Unified repeatedly used the leaseback process following passage of Measure Q even though it had the funds to pay for Gaston and renovate many schools.
The federal investigation also examined the personal emails and phone records of district officials and sought records pertaining to financial dealings between contractors and officials, and the campaign contributions of Harris Construction and another company, Bush Construction, in Fresno Unified school board races.
In January 2017, Fresno Unified trustees fired Hanson on a 4-2 vote. The dismissal came eight months before Hanson's previously announced departure date from the district.


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10/4/2004 Even prevents non-combat damage from flying creatures.


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The 2009–10 Harvard Crimson men's basketball team represented Harvard University in the Ivy League athletic conference during the 2009-10 NCAA Division I men's basketball season. The team played its home games in Cambridge, Massachusetts at the Lavietes Pavilion, which has a capacity of 2,195.  The team was led by third-year head coach Tommy Amaker and starred highly touted prospect Jeremy Lin.

Building on the success of the prior season when the 2008–09 team beat then ranked Boston College (#17 AP Poll/#24 Coaches' Poll) for the program's first win over a ranked team in the school's history,  The 2009–10 team broke many all-time program records including the following:
most wins (21)
most non-conference wins (11)
most home wins (11)
most road/neutral wins (10)

The team received a vote in the AP Poll four times: (November 23, January 11, January 18 and 25).  Amaker was a nominee for the inaugural Ben Jobe Award as the top minority Division I college basketball coach.  Amaker was recognized by Fox Sports as the 2010 Ivy League Coach of the Year.

As a result of its 21–7 overall record and a 10–4 Ivy League conference record, the team was invited to play in the 16-team single-elimination 2010 CollegeInsider.com Tournament.

Over the course of the season, the team was highly publicized, with Lin being featured in Sports Illustrated and ESPN, while the team's early match against defending conference champion Cornell  was written up in Time.

Preseason
The Ivy League held its pre-season media day on October 28, 2009, in Princeton, New Jersey.  The league's media unanimously voted Cornell the preseason #1 for the second straight season.  Harvard was ranked fourth.

Honors
Over the course of the season, the Ivy League office recognized several members of the team regularly for excellent play:

During the season, Lin was recognized as one of eleven finalists for the Bob Cousy Award. He was one of 31 midseason watchlist candidates for the Wooden Award.  At the conclusion of the 2009–10 Ivy League men's basketball season, Lin was selected as a repeat first team All-Ivy selection after becoming the first player in Ivy League history to record 1,450 points (1,471), 450 rebounds (487), 400 assists (401) and 200 steals (224).  He was also selected to the United States Basketball Writers Association All-District team.

Notes

Harvard Crimson men's basketball seasons
Harvard Crimson
Harvard Crimson
Harvard Crimson men's basketball
Harvard Crimson men's basketball
Harvard Crimson men's basketball
Harvard Crimson men's basketball

redpajama_set_name: RedPajamaWikipedia


text:
Is Welles classic 'Kane' still able to work its magic?
JOHN GORE, founder of StokeScreen Film Club, with his latest pick of the films coming to TV (from Saturday, May 1).
First of all, let's wish Citizen Kane 1941 (BBC2 14.30 Sat 1 May; BBC4 20.00 Thu 6 May), pictured above, a happy 80th birthday. Still regarded by many as the greatest movie ever made, it retains its currency today. A tale of a self-made media tycoon who, as his wealth and success multiply, so becomes more and more isolated and detached from the world. In acknowledgement of this momentous event, it is screening on two days so that you can watch it once and then see it again to figure out why it is so celebrated. One of the things you will notice is the camera work which uses deep focus to create a greater sense of depth in the image and more high and low angle shots than was the norm in Hollywood at the time. The use of prominent objects to tell his story, as Hitchcock did, makes Welles one of cinema's greatest directors. In spite of this, it was not warmly received upon its release.
If this increases your awareness of Welles as a film maker, then I would also recommend to you Lady from Shanghai 1948 (Sony Classics 17.30 Thu 6 May) which is one of the archetypal films noirs. Rita Hayworth plays the dubious dame while Orson plays the innocent caught up in a yachting trip which inevitably results in a web of intrigue and murder. This film concludes with one of the great finales: a shootout in a hall of mirrors, graphically representing the confusing and perilous predicament in which our hero finds himself. Much copied but never equalled, Welles was a genuine innovator (and self-publicist!).
A couple of things have caught my attention this week, for a very different reason. I waited for two or three years for Tulip Fever 2016 (BBC2 22.00 Mon 3 May) to be released and when it was, it sank without trace. It is based on a novel by Debbie Moggach who also wrote The Best Exotic Marigold Hotel. The film is about a young artist (Dane DeHaan) who falls for the woman whose portrait he is painting (Alicia Vikander). She has made a great fortune from the developing the tulip bulb industry in Holland in the 17th century. OK, so this will look pretty and allow for moody, painterly lighting. It has a compelling cast that includes Tom Hollander, Joanna Scanlon and Judi Dench. Alarm bells started to ring when the production changed distributors, Tom Stoppard was brought in to revise the script and it underwent a couple of radical re-edits. Add to this, one of the principal producers, Harvey Weinstein, was beginning to grab the headlines for the wrong reasons, and we could watch the film implode before our very eyes. I shall be so interested to see what resulted, and if it shows its scars in the final cut.
There is also The Age of Innocence 1977 (TPTV 22.10 Sun 2 May), not to be confused with the Martin Scorsese adaptation of the novel by Edith Wharton, but a Canadian tale of an English teacher arriving in town on the eve of WW2. There are shockwaves when it is discovered that he is a conscientious objector. Here is a more mature David Warner, removed from his salad days in the sixties, supported by Honour Blackman, who has also moved on from her earlier fame in The Avengers. My curiosity is piqued.
If you are in need of a sophisticated laugh, you could do a lot worse than Up In the Air 2009 (BBC2 23.30 Thu 6 May). George Clooney is clocking up his air miles, consulting for firms around the country on downsizing and rationalisation. He runs in to an attractive, younger competitor (Anna Kendrick) whose new ideas threaten to make his lifestyle obsolete. Director Jason Reitman has made a series of smart and perceptive comedies about modern life including the wickedly funny Thank You for Smoking, and the teen pregnancy story, Juno.
Evergreen romcom When Harry Met Sally 1989 (BBC1 22.50 Fri 7 May) gets another airing. I will be interested to see if it has withstood the test of time. Older still is The Chain 1984 (TPTV 18.50 Sat 1 May), written by the late, great Jack Rosenthal (The Knowledge, The Lovers) which follows the fate of a series of purchasers moving house. Denis Lawson, Phyllis Logan, David Troughton, Nigel Hawthorne, Billie Whitelaw and Warren Mitchell are all ensnared in the infernal congestion. I would be grateful to avoid almost everyone on the list were I trying to move!
Speaking of individuals you might be well advised to avoid at certain times, Sully: Miracle on the Hudson 2016 (BBC1 20.30 Mon 3 May) finds Clint Eastwood as director in righteous anger. This is the true story of airline pilot Chesley Sullenberger (Tom Hanks) who was forced to put his jet down on the Hudson River in the middle of New York, saving the lives of all passengers and crew, yet being reprimanded and investigated for misconduct by the insurers, reluctant to pay out on the loss of the plane. Hanks is Mr Middle America, so ideal to fill the role as the focus of this frightening and damaging suspicion.
Dusted down this week are:
 Local Hero 1983 (Film4 13.30 Sat 1 May), Bill Forsyth's comedy of the wealth of North Sea oil reaching the shores of Scotland. Burt Lancaster, a keen astronomer, arrives from Texas and takes a personal interest in the place while the quirky locals dream of the things that money can buy.
 Day of the Locust 1975 (TPTV 23.10 Sat 1 May) John Schlesinger's (Midnight Cowboy) portrait of Hollywood in the 1930s. Observing this latterday Babylon is art director, Donald Sutherland, who wants to make a star of his girlfriend only to be met by prejudice about her background. Sutherland was one of the hottest properties in cinema at that time. He and Karen Black lead a strong cast in this lavish production.
 Total Recall 1990 (ITV4 21.00 Wed 5 May) finds Arnold Schwarzenegger as the bewildered victim of memory theft. The idea came from Philip K Dick's story We Can Remember It for You Wholesale, but Paul Verhoven layers on his distinctive irony and mischief. If only more sci-fi were this self aware!
 It is followed by another cult classic, Al Pacino as Tony Montana in Brian de Palma's remake of Howard Hawks' classic gangster movie, Scarface 1983 (ITV4 23.20 Wed 5 May). Quite a double bill!!
 I have recently referenced a couple of titles which are returning to our screens this week. If you weren't paying attention then, here is another chance to ignore them. Internal Affairs 1990 (BBC2 00.30 Sun 2 May) in which Richard Gere is alarmingly good as corrupt cop Dennis Peck, being tracked by LA's equivalent of AC12 in the form of Raymond Avilla (Andy Garcia). In addition, there is End of Watch 2012 (BBC2 23.20 Fri 7 May) about two rookie cops on patrol in downtown LA. It is a perfectly sound cop thriller but was overshadowed by the impact of the box set phenomenon that is The Wire.
If you took my recommendations from last week to venture into the dark world of horror, you might recall that I praised The Descent and referenced Neil Marshall's earlier film, Dog Soldiers 2001 (Film4 23.20 Sun 2 May). This is a story of squaddies vs werewolves but here, the tightknit group of men allows for more depth of character than we might ordinarily expect.
Black Death 2010 (Horror 21.00 Tue 4 May) is a story from an earlier pandemic with Sean Bean and Eddie Redmayne investigating instances of reincarnation and otherworldly activities. Superstition is the main enemy here but it has grit and grime enough to imply its authenticity.
For some reason, there is a screening of the forthcoming StokeScreen feature The Disappearance of Alice Creed 2009 (Horror 22.55 Mon 3 May) on the Horror channel. This is a taut thriller with an excellent cast of Gemma Arterton, Eddie Marsan and Line of Duty's Martin Compston, but horror? Never. When we finally get to screen it we have been promised a visit by the producer, Marc Samuelson, who will chat about the film afterwards.
I hope this provides you with some entertainment during the inevitable spring bank holiday hail storms.
As ever, it is always good to hear back from you, so please put your thoughts down and send them to us at Stokescreenfilmclub@aol.com Facebook: StokeScreen at CNWSC and www.StokeScreen.uk

redpajama_set_name: RedPajamaCommonCrawl


text:
Q: Kernal Error (13) "Failed to Start Kernal" in Anything Python via Anaconda - after attempted Spyder 4.0 Update Help ----
Please note: I have already attempted the suggested fixes to similar ErrNo13 similar error.  The proposed solution there WILL NOT work here (I can not run anaconda as an admin forever).
Background:
- Win 10
- Anaconda 1.9.7
- Recent attempt to update Spyder to 4.0 (err'd out)
- Currently unable to start Python Jupyter or Spyder
- Kernal Error top-right of Jupyter panel.

Error Text: Failed to start the kernal, Unhandled Error

Full Error:
Traceback (most recent call last):
  File "C:\Users\markk\Anaconda3\lib\site-packages\tornado\web.py", line 1699, in _execute
    result = await result
  File "C:\Users\markk\Anaconda3\lib\site-packages\tornado\gen.py", line 742, in run
    yielded = self.gen.throw(*exc_info)  # type: ignore
  File "C:\Users\markk\Anaconda3\lib\site-packages\notebook\services\sessions\handlers.py", line 72, in post
    type=mtype))
  File "C:\Users\markk\Anaconda3\lib\site-packages\tornado\gen.py", line 735, in run
    value = future.result()
  File "C:\Users\markk\Anaconda3\lib\site-packages\tornado\gen.py", line 742, in run
    yielded = self.gen.throw(*exc_info)  # type: ignore
  File "C:\Users\markk\Anaconda3\lib\site-packages\notebook\services\sessions\sessionmanager.py", line 88, in create_session
    kernel_id = yield self.start_kernel_for_session(session_id, path, name, type, kernel_name)
  File "C:\Users\markk\Anaconda3\lib\site-packages\tornado\gen.py", line 735, in run
    value = future.result()
  File "C:\Users\markk\Anaconda3\lib\site-packages\tornado\gen.py", line 742, in run
    yielded = self.gen.throw(*exc_info)  # type: ignore
  File "C:\Users\markk\Anaconda3\lib\site-packages\notebook\services\sessions\sessionmanager.py", line 101, in start_kernel_for_session
    self.kernel_manager.start_kernel(path=kernel_path, kernel_name=kernel_name)
  File "C:\Users\markk\Anaconda3\lib\site-packages\tornado\gen.py", line 735, in run
    value = future.result()
  File "C:\Users\markk\Anaconda3\lib\site-packages\tornado\gen.py", line 209, in wrapper
    yielded = next(result)
  File "C:\Users\markk\Anaconda3\lib\site-packages\notebook\services\kernels\kernelmanager.py", line 168, in start_kernel
    super(MappingKernelManager, self).start_kernel(**kwargs)
  File "C:\Users\markk\Anaconda3\lib\site-packages\jupyter_client\multikernelmanager.py", line 110, in start_kernel
    km.start_kernel(**kwargs)
  File "C:\Users\markk\Anaconda3\lib\site-packages\jupyter_client\manager.py", line 240, in start_kernel
    self.write_connection_file()
  File "C:\Users\markk\Anaconda3\lib\site-packages\jupyter_client\connect.py", line 547, in write_connection_file
    kernel_name=self.kernel_name
  File "C:\Users\markk\Anaconda3\lib\site-packages\jupyter_client\connect.py", line 212, in write_connection_file
    with secure_write(fname) as f:
 File "C:\Users\markk\Anaconda3\lib\contextlib.py", line 112, in __enter__
    return next(self.gen)
  File "C:\Users\markk\Anaconda3\lib\site-packages\jupyter_client\connect.py", line 102, in secure_write
    with os.fdopen(os.open(fname, open_flag, 0o600), mode) as f:
PermissionError: [Errno 13] Permission denied: 'C:\\Users\\markk\\AppData\\Roaming\\jupyter\\runtime\\kernel-2637dfaf-4206-40e7-aeea-56de7b61b129.json'

A: Update:
Spyder maintainers are not adequately prompting Anaconda users on their 4.0 update - and this will cause these errors.  Note to Self: Don't trust Spyder update messages!

Trouble Updating Spyder 4.0.0

redpajama_set_name: RedPajamaStackExchange


This fine and light cream was specifically designed to prevent the signs of skin aging on the neck and delicate areas. The fragile skin of these areas requires particular and adapted skin care to be protected, strengthened and provided with the nourishment needed to regain tone and vitality. Rich in Triple DNA, RNA and Peptides+, Prime Neck is also composed of a lipoamino derivative which struggles against cutaneous sagging. The skin appears firmer, as if re-stretched.


Jones was born in the US. I'm sorry you had to see that. I'm afraid Reinhard doesn't want to talk to you. My father is now at work at the hospital. This warm weather is abnormal for February. Your bike is better than mine. Belinda described his new invention to both John and Kanthan. Lynne didn't have much of a choice. The party decorations were colorful. It's a legend.
Nelken opened the diary. Do I have to change my diet? We think Sho is going to be ready. Courtney doesn't want you to know. Where was this book published? She trusts Taurus. Bill has come by a great deal of money. There was an intense pain in my head. That's not the way I wanted it. Where is the coffee machine?
The law does not accept confession under torture. I don't trust you anymore. I kind of got punted out of the university. He is just killing time. Wilson plans to fight. You were there, too. The Holy Inquisition started with Pope Lucius III. Give me a hoist. Michelle had nothing to do with any of that. It was irresponsible of him to break a promise.
She demoted you. We have enough data. Can I please have some water? Your guess is entirely off the mark. He had hardly got into bed when he fell asleep. Which way is the nearest? He was surprised by the news. Bill accepted my statement as true. Just please be careful. Murthy wasn't strong enough to help his father on the farm.
Why haven't you told your parents about us? I drink coffee instead of milk. Everyone is standing. You broke the rule. Would you like some champagne? One of the things we should learn from Americans is their ability to gather, accumulate, and impart knowledge. Our evidence is no more than a tiny sliver of solid knowledge amidst the vast bog of doubts and speculations. I nearly got hit by a truck today. Where's the nearest metro stop? "Conrad?", Alice whispered.
Why is this funny? Isabelle walked around the store, buying things he needed. You're impossible. She is much afraid of dogs. What do I have to do this time? The Industrial Revolution took place first in England. That's what I loved about him. The weather is really great! We had always been close. Chet talked about his life in Boston.
Everyone wanted a piece of the cake. He went to the student's house. He did what he had been told. Suresh ate the sandwich. Where have you been all evening? It occurred to me it might have something to do with Isaac. Dogs can't distinguish colors. He prayed that his father would forgive him. I've got a coupon. Marcia never should've told Erwin that he loved her.
Let's not make dubious assumptions. It's not worth reading any further. I called for help. You don't know any French, do you? Who can read the future? Can't you tell me about it? Thanks for letting me stay here. You're a great guy. Originally they were farmers. There's a remote control under the chair.
Did you get this from her? They struck oil here recently. Tell him to give them to me. Many would jump at the chance to live in New York. I stole this from Barbra. He needs the ladder. Do you like pineapple soda? Boys are stupid. For his length of loyal service to his organization, he was only repaid in chicken feed. I don't feel very well.
Shaw got lost inside the manor. I don't mind your staying here. The picture's age has not yet been determined. I'm going to meet Kee in the lobby at 2:30. He allowed his books to fall on the floor. It certainly looks like rain. Should we wait? I had my wallet stolen from my inner pocket. I don't think Eva is ready. How sad that girl looks!


A fun and exciting ski and snowboard race where the racer who clocks the best time in each event category wins Gold, Silver, or Bronze medals. Winners from individual events are invited to return and compete in the Series Finals. The races are FREE, but you must purchase a lift ticket to participate. Tons of great prizes, giveaways and free samples!
● Race starts at 11:00 a.m.
● Forms Needed: Yes, available at registration table.


text:
U.S.-Panama Relations
1994-07-20T22:37:14-04:00https://images.c-span.org/Files/143/058851-m.jpgPresident Clinton and President-elect Perez Balladares of Panama addressed the media prior to their meeting in the Oval Office. President Clinton congratulated Mr. Perez Balladares on his election and on the successful democratic transition in Panama. The President thanked him for his interest in the Summit of the Americas and his interest in exercising a leadership role in working with the United States on the problems of money laundering, drug trafficking, and other other international crime issues. Further, the President thanked him for his willingness to help the United States establish safe havens forHaitian refugees. Media questions focused on safe havens for Haitian refugees and on Haiti's return to democracy.
President Clinton and President-elect Perez Balladares of Panama addressed the media prior to their meeting in the Oval Office. President Clinton… read more
President Clinton and President-elect Perez Balladares of Panama addressed the media prior to their meeting in the Oval Office. President Clinton congratulated Mr. Perez Balladares on his election and on the successful democratic transition in Panama. The President thanked him for his interest in the Summit of the Americas and his interest in exercising a leadership role in working with the United States on the problems of money laundering, drug trafficking, and other other international crime issues. Further, the President thanked him for his willingness to help the United States establish safe havens forHaitian refugees. Media questions focused on safe havens for Haitian refugees and on Haiti's return to democracy. close
Transcript type Federal News Service Transcript Text People Graphical Timeline
Filter by Speaker All Speakers Bill Clinton Ernesto Perez Ballarades
Bill Clinton U.S. President United States
Ernesto Perez Ballarades President Panama
White HouseWhite House
White House Event
Oval Office, White House, Washington, District of Columbia, United States
Jul 20, 1994 | 9:23pm EDT | C-SPAN 2
Jul 20, 1994 | 10:37pm EDT | C-SPAN 1
U.S. Occupation of Haiti
In remarks prior to a meeting with Congressional leaders, President Clinton thanked President Carter, General Powell,…
South Africa Issues
Presidents Clinton and Mandela commended Caucus members for helping to raise the consciousness of all Americans to the…
President Clinton and President Yeltsin met in Hyde Park, New York to discuss the role their nations would play in the…
Family and Medical Leave Signing Ceremony
President Clinton signed the Family and Medical Leave Bill. It was passed by Congress yesterday and is the first piece…


SNK HEROINES ~ Tag Team Frenzy ~ – The SNK HEROINES ~ Tag Team Frenzy ~ Game brings the party home! Play online * or with friends ** as iconic heroines of SNK in this new 2-v-2 fighting game. Choose one of the many heroines in the history of SNK, like Athena, Kula and Shermie, and customize their look before challenging them. Who will be the beauty of the fight? SNK HEROINES ~ Tag Team Frenzy ~ is available on September 7th.
NBA 2K19 – The NBA 2K franchise celebrates 20 years of redefining what sports games can be, from graphics and gameplay to unique game modes, to an immersive, open "neighborhood". The NBA 2K19 game continues to set limits as it comes one step closer to real basketball excitement and culture. NBA 2K19 will be available on September 11, and the NBA 2K19 20th Anniversary Edition will be available on September 7th.
Hyper Light Drifter – Special Edition – Explore a beautiful, huge and destroyed world full of dangers and lost technologies. Echoes of a dark and violent past sound through a wild land, steeped in treasures and blood. Hyper Light Drifter is an action-adventure RPG in the style of the best 16-bit classics, with updated mechanics and designs on a much larger scale.
Went home – You come home after a year abroad. You expect your family to welcome you, but the house is empty. Something is not correct. Where are all? And what happened here? Uncover the secret for yourself in the game Gone Home, a game by The Fullbright Company.


text:
Samuel Dunn (n. ? la Crediton – d. 1794) a fost un matematician și astronom amator englez.

Scrierile sale cuprind mai multe lucrări științifice cu caracter matematic, între care și niște tabele cu logaritmi cu 6 zecimale.

A fost profesor examinator în Indiile orientale.
A înființat o școală în orașul său natal și alta în Chelsea.
Prin testament, a lăsat fonduri pentru crearea unei școli superioare la Crediton.

Decese în 1794
Matematicieni englezi


text:
Coinbase Announces USDC Support for 85 More Countries
Reading Time: 2 minutes by Mohammad Musharraf on May 15, 2019 Adoption, Altcoins, Business, News
Coinbase has unveiled the expansion of its USDC on Coinbase and Coinbase Pro, which is now available across 85 countries. It also announced the addition of 50 new countries for trading cryptos on the exchange platform. This according to an official blog post, May 14, 2019,
Rendering the Support of Stablecoins to Economically Weak Nations
Coinbase is one of the largest cryptocurrency exchanges across the globe. In its bid to onboard more traders from various countries, it today announced the support of stablecoin USDC for 85 countries while also adding support to 50 countries for crypto-to-crypto trading.
A year ago, the company supported only 35 countries while today, with the new announcement, it has extended its roots to 103. Of these, however, users of only 17 countries are eligible for fiat-to-crypto trading and the rest have to rely on crypto-to-crypto trades. To make it easier for participants from those countries, Coinbase has added support to USDC, a cryptocurrency that is pegged to USD, meaning that each USDC equals $1.
The company's effort to make an international presence is quite evident from the aggressive expansion of its services to more and more countries. Only a month ago, Coinbase had announced its expansion to 11 countries.
The list of 50 new countries that the exchange is now offering its services to makes it evident that the motive of Coinbase was to provide a more reliable currency to citizens of those countries where the economy suffers from unprecedented inflation rates.
Not only does it seem like a great marketing plan to onboard a huge number of traders but also a step that would help curb the troubles that hyperinflation causes across so many countries. The availability of a stablecoin such as USDC in those countries can help people easily rely on the U.S. dollar rather than on their unstable native currency.
Acknowledging the same, Coinbase's blog read:
"For new customers in countries like Argentina and Uzbekistan, where consumer prices are expected to inflate by 10–20% in 2020, stablecoins like USDC could provide an opportunity to protect against inflation."
Some of the new countries added to Coinbase include Guatemala, Angola, Brunei, Jamaica, Turkey Uzbekistan, Rwanda, and Mauritius.
At present, Coinbase's major competitor, Binance, offers services across more than 190 countries. But at the present rate, Coinbase may well form as strong a global presence as Binance.
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Our Bitcoin Address: 3AbQrAyRsdM5NX5BQh8qWYePEpGjCYLCy4
bitcoin Coinbase cryptocurrency hyperinflation Stablecoin USDC Venezuela
# Trending stories
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Around The Block With Jeff And Dave – July 15, 2019
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text:
Home: Science and Technology
Astronomy and Time
Early Printing
Medieval Science Page
An extensive collection of links to resources concerning many topics of medieval science, such as alchemy, botany, mathematics, time and more.
URL: http://teachingtolkien.org/McNelis/Medieval_Science/medsci_index.html Link Verified by NetSERF: 03 March 2011
Medieval Technology Pages, The
"The Medieval Technology Pages are an attempt to provide accurate, referenced information on technological innovation and related subjects in western Europe during the Middle Ages. There are several ways to access this information. The most direct method is through the Subject Index which provides direct access to all the technology pages. Many of the articles are also present in a historical Timeline. And material can be found by examining the References which back-reference all articles through the sources used."
URL: http://scholar.chem.nyu.edu/tekpages/Technology.html Link Verified by NetSERF: 05 March 2011
Virtual St. Andrew's Cathedral by Richard Fawcett
Note: A virtual exploration of the digitally reconstructed Cathedral
URL: http://virtualworlds.cs.st-andrews.ac.uk/cathedral/index.php Link Verified by NetSERF: 12 November 2013


To succeed in small business, a good idea and an entrepreneurial spirit are just the beginning.
Popcorn & Ice Cream specializes in small business marketing. We help good businesses become great success stories.
Whether you're a budding startup or established business in need of a boost, we help sort through marketing clutter – prioritizing opportunities, defining plans, and helping execute. Popcorn & Ice Cream provides small businesses and startups with marketing strategies on a scale appropriate to their businesses and at a price they can afford.
What do popcorn and ice cream have to do with marketing and small business?
Salty and sweet and crunchy and creamy make great combinations. Like a good marketing campaign, they highlight and complement the other ingredients' best attributes. And like a great small business, there are endless delicious flavors that offer many new possibilities.


text:
4 days in Mexico City & Paris Itinerary
Created using Inspirock holiday planner
Start: Mexico City, Mexico
— 1 day
Mexico City (MEX) — Paris CDG (CDG)
Fastest: 15h 30min(flight time: 12h)
Mexico City (MEX) — Amsterdam Schiphol (AMS)
Fastest: 12h
Amsterdam Schiphol (AMS) — Paris
Mexico City — Puebla CAPU
Puebla CAPU — Puebla (PBC)
Puebla (PBC) — Paris CDG (CDG)
Fastest: 16h 15min
Paris CDG (CDG) — Mexico City (MEX)
Paris — Amsterdam Schiphol (AMS)
Amsterdam Schiphol (AMS) — Mexico City (MEX)
Paris CDG (CDG) — Puebla (PBC)
Puebla (PBC) — Puebla CAPU
Puebla CAPU — Mexico City
End: Mexico City, Mexico
Kick off your visit on the 2nd (Mon): steep yourself in history at Basilica de Santa Maria de Guadalupe, then take in the spiritual surroundings of Metropolitan Cathedral (Catedral Metropolitana), and then get to know the fascinating history of Zocalo.
For other places to visit, more things to do, ratings, and tourist information, use the Mexico City trip planner .
If you are flying in from Mexico, the closest major airports are Licenciado Benito Juarez International Airport, Querétaro Intercontinental Airport and General Francisco J. Mujica International Airport. In September in Mexico City, expect temperatures between 26°C during the day and 16°C at night. Finish your sightseeing early on the 2nd (Mon) to allow enough time to travel to Paris.
Find places to stay Sep 2 — 3:
3:30pm, Mon Sep 2
Metropolitan Cathedral (Catedral Metropolitana)
Basilica de Santa Maria de Guadalupe
10:30am, Mon Sep 2
A beautiful and romantic city fit for any itinerary, Paris brims with historic associations and remains vastly influential in the realms of culture, art, fashion, food and design.
Get ready for a full day of sightseeing on the 4th (Wed): explore the world behind art at Musee d'Orsay, appreciate the history behind Arc de Triomphe, and then explore the world behind art at Louvre Museum.
To find reviews, more things to do, other places to visit, and tourist information, refer to the Paris tour itinerary maker website .
Traveling by flight from Mexico City to Paris takes 15.5 hours. Alternatively, you can do a combination of bus and flight. The time zone difference moving from Central Standard Time (CST) to Central European Time (CET) is 7 hours. In September, daily temperatures in Paris can reach 24°C, while at night they dip to 13°C. Finish your sightseeing early on the 5th (Thu) so you can travel back home.
Things to do in Paris
3:00pm, Wed Sep 4
10:00am, Wed Sep 4
12:30pm, Thu Sep 5
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Killing means erasing text and copying it into the kill ring, from which it can be retrieved by yanking it. Some systems use the terms "cutting" and "pasting" for these operations.
The commonest way of moving or copying text within Emacs is to kill it and later yank elsewhere it in one or more places. This is very safe because Emacs remembers several recent kills, not just the last one. It is versatile, because the many commands for killing syntactic units can also be used for moving those units. But there are other ways of copying text for special purposes.
Emacs has only one kill ring for all buffers, so you can kill text in one buffer and yank it in another buffer.
Most commands which erase text from the buffer save it in the kill ring so that you can move or copy it to other parts of the buffer. These commands are known as kill commands. The rest of the commands that erase text do not save it in the kill ring; they are known as delete commands. (This distinction is made only for erasure of text in the buffer.) If you do a kill or delete command by mistake, you can use the C-x u (undo) command to undo it (see section Undoing Changes).
The delete commands include C-d (delete-char) and DEL (delete-backward-char), which delete only one character at a time, and those commands that delete only spaces or newlines. Commands that can destroy significant amounts of nontrivial data generally kill. The commands' names and individual descriptions use the words `kill' and `delete' to say which they do.
The most basic delete commands are C-d (delete-char) and DEL (delete-backward-char). C-d deletes the character after point, the one the cursor is "on top of". This doesn't move point. DEL deletes the character before the cursor, and moves point back. You can delete newlines like any other characters in the buffer; deleting a newline joins two lines. Actually, C-d and DEL aren't always delete commands; when given arguments, they kill instead, since they can erase more than one character this way.
The other delete commands are those which delete only whitespace characters: spaces, tabs and newlines. M-\ (delete-horizontal-space) deletes all the spaces and tab characters before and after point. M-SPC (just-one-space) does likewise but leaves a single space after point, regardless of the number of spaces that existed previously (even zero).
C-x C-o (delete-blank-lines) deletes all blank lines after the current line. If the current line is blank, it deletes all blank lines preceding the current line as well (leaving one blank line, the current line).
M-^ (delete-indentation) joins the current line and the previous line, by deleting a newline and all surrounding spaces, usually leaving a single space. See section Indentation.
Kill rest of line or one or more lines (kill-line).
The simplest kill command is C-k. If given at the beginning of a line, it kills all the text on the line, leaving it blank. When used on a blank line, it kills the whole line including its newline. To kill an entire non-blank line, go to the beginning and type C-k twice.
More generally, C-k kills from point up to the end of the line, unless it is at the end of a line. In that case it kills the newline following point, thus merging the next line into the current one. Spaces and tabs that you can't see at the end of the line are ignored when deciding which case applies, so if point appears to be at the end of the line, you can be sure C-k will kill the newline.
When C-k is given a positive argument, it kills that many lines and the newlines that follow them (however, text on the current line before point is spared). With a negative argument -n, it kills n lines preceding the current line (together with the text on the current line before point). Thus, C-u - 2 C-k at the front of a line kills the two previous lines.
C-k with an argument of zero kills the text before point on the current line.
If the variable kill-whole-line is non-nil, C-k at the very beginning of a line kills the entire line including the following newline. This variable is normally nil.
Kill region (from point to the mark) (kill-region).
Kill word (kill-word). See section Words.
Kill back to beginning of sentence (backward-kill-sentence). See section Sentences.
Kill to end of sentence (kill-sentence).
Kill sexp (kill-sexp). See section Lists and Sexps.
Kill through the next occurrence of char (zap-to-char).
A kill command which is very general is C-w (kill-region), which kills everything between point and the mark. With this command, you can kill any contiguous sequence of characters, if you first set the region around them.
A convenient way of killing is combined with searching: M-z (zap-to-char) reads a character and kills from point up to (and including) the next occurrence of that character in the buffer. A numeric argument acts as a repeat count. A negative argument means to search backward and kill text before point.
Other syntactic units can be killed: words, with M-DEL and M-d (see section Words); sexps, with C-M-k (see section Lists and Sexps); and sentences, with C-x DEL and M-k (see section Sentences).
You can use kill commands in read-only buffers. They don't actually change the buffer, and they beep to warn you of that, but they do copy the text you tried to kill into the kill ring, so you can yank it into other buffers. Most of the kill commands move point across the text they copy in this way, so that successive kill commands build up a single kill ring entry as usual.
Yanking means reinserting text previously killed. This is what some systems call "pasting". The usual way to move or copy text is to kill it and then yank it elsewhere one or more times.
Yank last killed text (yank).
Replace text just yanked with an earlier batch of killed text (yank-pop).
Save region as last killed text without actually killing it (kill-ring-save).
Append next kill to last batch of killed text (append-next-kill).
The command C-y (yank) reinserts the text of the most recent kill. It leaves the cursor at the end of the text. It sets the mark at the beginning of the text. See section The Mark and the Region.
C-u C-y leaves the cursor in front of the text, and sets the mark after it. This happens only if the argument is specified with just a C-u, precisely. Any other sort of argument, including C-u and digits, specifies an earlier kill to yank (see section Yanking Earlier Kills).
To copy a block of text, you can use M-w (kill-ring-save), which copies the region into the kill ring without removing it from the buffer. This is approximately equivalent to C-w followed by C-x u, except that M-w does not alter the undo history and does not temporarily change the screen.
Normally, each kill command pushes a new entry onto the kill ring. However, two or more kill commands in a row combine their text into a single entry, so that a single C-y yanks all the text as a unit, just as it was before it was killed.
Thus, if you want to yank text as a unit, you need not kill all of it with one command; you can keep killing line after line, or word after word, until you have killed it all, and you can still get it all back at once.
This is a line -!-of sample text.
Another way to kill the same text is to move back two words with M-b M-b, then kill all four words forward with C-u M-d. This produces exactly the same results in the buffer and in the kill ring. M-f M-f C-u M-DEL kills the same text, all going backward; once again, the result is the same. The text in the kill ring entry always has the same order that it had in the buffer before you killed it.
If a kill command is separated from the last kill command by other commands (not just numeric arguments), it starts a new entry on the kill ring. But you can force it to append by first typing the command C-M-w (append-next-kill) right before it. The C-M-w tells the following command, if it is a kill command, to append the text it kills to the last killed text, instead of starting a new entry. With C-M-w, you can kill several separated pieces of text and accumulate them to be yanked back in one place.
A kill command following M-w does not append to the text that M-w copied into the kill ring.
To recover killed text that is no longer the most recent kill, use the M-y command (yank-pop). It takes the text previously yanked and replaces it with the text from an earlier kill. So, to recover the text of the next-to-the-last kill, first use C-y to yank the last kill, and then use M-y to replace it with the previous kill. M-y is allowed only after a C-y or another M-y.
You can understand M-y in terms of a "last yank" pointer which points at an entry in the kill ring. Each time you kill, the "last yank" pointer moves to the newly made entry at the front of the ring. C-y yanks the entry which the "last yank" pointer points to. M-y moves the "last yank" pointer to a different entry, and the text in the buffer changes to match. Enough M-y commands can move the pointer to any entry in the ring, so you can get any entry into the buffer. Eventually the pointer reaches the end of the ring; the next M-y moves it to the first entry again.
M-y moves the "last yank" pointer around the ring, but it does not change the order of the entries in the ring, which always runs from the most recent kill at the front to the oldest one still remembered.
M-y can take a numeric argument, which tells it how many entries to advance the "last yank" pointer by. A negative argument moves the pointer toward the front of the ring; from the front of the ring, it moves "around" to the last entry and continues forward from there.
Once the text you are looking for is brought into the buffer, you can stop doing M-y commands and it will stay there. It's just a copy of the kill ring entry, so editing it in the buffer does not change what's in the ring. As long as no new killing is done, the "last yank" pointer remains at the same place in the kill ring, so repeating C-y will yank another copy of the same previous kill.
If you know how many M-y commands it would take to find the text you want, you can yank that text in one step using C-y with a numeric argument. C-y with an argument restores the text the specified number of entries back in the kill ring. Thus, C-u 2 C-y gets the next to the last block of killed text. It is equivalent to C-y M-y. C-y with a numeric argument starts counting from the "last yank" pointer, and sets the "last yank" pointer to the entry that it yanks.
The length of the kill ring is controlled by the variable kill-ring-max; no more than that many blocks of killed text are saved.
The actual contents of the kill ring are stored in a variable named kill-ring; you can view the entire contents of the kill ring with the command C-h v kill-ring.
Usually we copy or move text by killing it and yanking it, but there are other methods convenient for copying one block of text in many places, or for copying many scattered blocks of text into one place. To copy one block to many places, store it in a register (see section Registers). Here we describe the commands to accumulate scattered pieces of text into a buffer or into a file.
Append region to contents of specified buffer.
Prepend region to contents of specified buffer.
Copy region into specified buffer, deleting that buffer's old contents.
Insert contents of specified buffer into current buffer at point.
Append region to contents of specified file, at the end.
To accumulate text into a buffer, use M-x append-to-buffer. This reads a buffer name, them inserts a copy of the region into the buffer specified. If you specify a nonexistent buffer, append-to-buffer creates the buffer. The text is inserted wherever point is in that buffer. If you have been using the buffer for editing, the copied text goes into the middle of the text of the buffer, wherever point happens to be in it.
Point in that buffer is left at the end of the copied text, so successive uses of append-to-buffer accumulate the text in the specified buffer in the same order as they were copied. Strictly speaking, append-to-buffer does not always append to the text already in the buffer--only if point in that buffer is at the end. However, if append-to-buffer is the only command you use to alter a buffer, then point is always at the end.
M-x prepend-to-buffer is just like append-to-buffer except that point in the other buffer is left before the copied text, so successive prependings add text in reverse order. M-x copy-to-buffer is similar except that any existing text in the other buffer is deleted, so the buffer is left containing just the text newly copied into it.
To retrieve the accumulated text from another buffer, use M-x insert-buffer; this too takes buffername as an argument. It inserts a copy of the text in buffer buffername into the selected buffer. You can alternatively select the other buffer for editing, then optionally move text from it by killing. See section Using Multiple Buffers, for background information on buffers.
Instead of accumulating text within Emacs, in a buffer, you can append text directly into a file with M-x append-to-file, which takes filename as an argument. It adds the text of the region to the end of the specified file. The file is changed immediately on disk.
You should use append-to-file only with files that are not being visited in Emacs. Using it on a file that you are editing in Emacs would change the file behind Emacs's back, which can lead to losing some of your editing.
The rectangle commands operate on rectangular areas of the text: all the characters between a certain pair of columns, in a certain range of lines. Commands are provided to kill rectangles, yank killed rectangles, clear them out, fill them with blanks or text, or delete them. Rectangle commands are useful with text in multicolumn formats, and for changing text into or out of such formats.
When you must specify a rectangle for a command to work on, you do it by putting the mark at one corner and point at the opposite corner. The rectangle thus specified is called the region-rectangle because you control it in about the same way the region is controlled. But remember that a given combination of point and mark values can be interpreted either as a region or as a rectangle, depending on the command that uses them.
If point and the mark are in the same column, the rectangle they delimit is empty. If they are in the same line, the rectangle is one line high. This asymmetry between lines and columns comes about because point (and likewise the mark) is between two columns, but within a line.
Insert string on each line of the region-rectangle.
The rectangle operations fall into two classes: commands deleting and inserting rectangles, and commands for blank rectangles.
There are two ways to get rid of the text in a rectangle: you can discard the text (delete it) or save it as the "last killed" rectangle. The commands for these two ways are C-x r d (delete-rectangle) and C-x r k (kill-rectangle). In either case, the portion of each line that falls inside the rectangle's boundaries is deleted, causing following text (if any) on the line to move left into the gap.
Note that "killing" a rectangle is not killing in the usual sense; the rectangle is not stored in the kill ring, but in a special place that can only record the most recent rectangle killed. This is because yanking a rectangle is so different from yanking linear text that different yank commands have to be used and yank-popping is hard to make sense of.
To yank the last killed rectangle, type C-x r y (yank-rectangle). Yanking a rectangle is the opposite of killing one. Point specifies where to put the rectangle's upper left corner. The rectangle's first line is inserted there, the rectangle's second line is inserted at a position one line vertically down, and so on. The number of lines affected is determined by the height of the saved rectangle.
You can convert single-column lists into double-column lists using rectangle killing and yanking; kill the second half of the list as a rectangle and then yank it beside the first line of the list. See section Two-Column Editing, for another way to edit multi-column text.
You can also copy rectangles into and out of registers with C-x r r r and C-x r i r. See section Saving Rectangles in Registers.
There are two commands for making with blank rectangles: M-x clear-rectangle to blank out existing text, and C-x r o (open-rectangle) to insert a blank rectangle. Clearing a rectangle is equivalent to deleting it and then inserting a blank rectangle of the same size.
The command M-x string-rectangle is similar to C-x r o, but it inserts a specified string instead of blanks. You specify the string with the minibuffer. Since the length of the string specifies how many columns to insert, the width of the region-rectangle does not matter for this command. What does matter is the position of the left edge (which specifies the column position for the insertion in each line) and the range of lines that the rectangle occupies. The previous contents of the text beyond the insertion column are pushed rightward.


text:
A Virginia real estate agent hopes her 10-mile record is a springboard to the Olympics
Roman Stubbs, The Washington Post
Keira D'Amato was only a mile away from reaching the pinnacle of her running career Tuesday morning, closing in on a national record at a local race called the Up Dawg Ten Miler, when her 36-year-old body started to give out. Her legs were wobbly. She grew dizzy. She wondered how she was going to sprint to the finish in Anacostia Park.
But D'Amato had helped create this race featuring five elite runners - she prepared her body tirelessly for months and invested thousands of dollars of her own money to hold it - so she mustered the strength to run as fast as she could over the last stretch. Her mother and husband were holding the tape at the finish line, and when D'Amato finally crossed, she had shattered the American women's record for a 10-mile race with a time of 51:23.
It had been six years since the record was set by former Olympian Janet Bawcom at the 2014 Cherry Blossom Ten Mile Run. Not only was it surreal that D'Amato had crushed that previous mark of 52:12 by 49 seconds, but D'Amato was one of the onlookers holding the tape for Bawcom as she crossed the finish line that spring day in Washington.
A few moments after Tuesday's triumph, D'Amato found herself in the arms of her husband, Anthony, and she told him how much her body hurt before muttering: "I can't believe I did it."
As an unsponsored athlete - she is a real estate agent in Northern Virginia and the mother of two - it was a watershed moment in what has been a remarkable year for D'Amato. A former collegiate standout who drifted from competitive running for nearly a decade, she has continued a career resurgence with a string of impressive finishes in races over the past nine months - and hopes it will be a springboard to accomplish her Olympic dream in 2021.
"This has been a very personal journey for me," D'Amato said. "It was a moment I will never forget. I have to include my wedding and two child births up there, but it definitely has a top-five spot in my life."
The performance capped D'Amato's stellar body of work in 2020. It began in February when she ran a personal best 2:34:24 to finish 15th at the Olympic marathon trials in Atlanta. As the coronavirus pandemic set in, wiping out most of the country's running schedule and leaving many runners retreating for a period of rest, D'Amato focused on opportunities that could help her improve her standing.
In June, she made headlines after running a 15:04 in a 5K at a high school track in Richmond - and while it wasn't certified by USA Track & Field, it nonetheless shaved more than a minute off her college personal best time at American University nearly 15 years earlier and bolstered her confidence. She followed by winning the Michigan Pro Half Marathon and the Sugar Run 5K Classic in Tennessee.
"I felt like I had a lot of unfinished business. When covid hit, I think it was a natural time for the professional runners to take a break. ... I was the complete opposite," she said. "I kind of thought, pedal to the metal. I can make up some ground."
Those performances had only made her more determined to set the American women's record for a 10-mile race. Had she broken the record in April when the Cherry Blossom Ten Mile Run was scheduled to be held, she would have likely pocketed a $10,000 bonus - but to hold this week's race, she would need to pour thousands of her own dollars to chase her goal.
She received financial and logistical support from the Cherry Blossom organization, and raised funds herself by selling apparel and gear, which helped pay to certify and measure the course through USA Track & Field and provide drug testing for the participants, among other costs.
D'Amato told people leading up to the race that the last year represented her "bonus round" in a most unconventional path following a standout running career at American. She felt forced out of the elite running world after she suffered an ankle injury in her 20s, and she hung up her running shoes and focused on her career. After marrying Anthony and having two children, she started to run again.
"I kind of fell backwards, back into this, and all of the sudden, all of those dreams and goals were back on the table," she said. "I'm not afraid to fail again. I failed before and I turned out just fine. But I also know what it's like not to hit those goals. I didn't want that to happen again."
It was clear that D'Amato was not going to be denied her goal Tuesday, as she took control of the race and held a sizable lead from the onset. She finished the first mile split at 5:11, just under record pace. At two miles, she was 11 seconds ahead of the record pace of 10:15. By the third mile, she was clearly pulling away from second-place finisher and 2021 Olympic qualifier Molly Seidel, who finished more than two minutes slower at 53:36.
"It was storybook," said Phil Stewart, the director of the Cherry Blossom Ten Mile Run who also oversaw Tuesday's event. "It was phenomenal."
"Her whole journey has been untraditional - it just felt like a very surreal moment," said her husband, Anthony. "This is all part of a plan for her."
D'Amato's plan is to not stop. Her body ached when she woke Wednesday morning, yet she was energized about what comes next. She plans to run another race in December in Arizona, and it is all building toward the Olympic team time trials in June in Eugene, Ore.
"Making an Olympic team is probably one of my biggest aspirations. ... That's definitely been a dream of mine since I was 13," she said. "But I think what has helped me in this journey is that I have taken it every goal at a time."
Black history is vital to understanding racial injustice, but the museums holding that history are under threat
Some think watching holiday movies feels sad this year, while others started in March
Mall Santas brave the pandemic with plexiglass barriers, sanitation elves and snow-globe bubbles
Roman Stubbs


This property is 1 minute walk from the beach. Located in Masouri in the Kalymnos Region, 44 km from Bodrum City, Kasteli Villas features an outdoor pool and seasonal outdoor pool. Didim is 49 km from the property. Free WiFi is offered .
Kasteli Villas also includes a barbecue.
Kos Town is 34 km from Kasteli Villas, while Gümbet is 41 km away. The nearest airport is Kalymnos National Airport, 6 km from Kasteli Villas.
This villa has a seating area, dishwasher and kitchen.


It was written by Matsuo Bashō (1644-1694), who is certainly one of the greatest of the haiku poets, if not the greatest. The above poem conveyed to me something bracing and hopeful: the human capacity to see an eternal significance in the present moment. This is a general theme that is present throughout Bashō's work.
The book that I have kept with me for most of my adult life is called "The Narrow Road to the Deep North and Other Travel Sketches". Published in 1966, it was translated from the Japanese by Nobuyuki Yuasa (who also provided a helpful introduction and footnotes). The translation includes five travel sketches by Bashō, the most prominent being "The Narrow Road" itself.
Despite my very limited command of Japanese, I venture to suggest that this poem could be broken down as follows: araumi ya (the turbulent sea) — / sado ni yokotō (and falling in the direction of Sado), / ama no gawa (heaven's river).
It should be noted that the island of Sado was a grim place of exile. Its inhabitants had included the zealous Buddhist teacher, Nichiren.
In a postscript, a priest and scholar named Soryū states that Bashō's masterpiece includes "everything under the sky". That's an exaggeration, of course. However, I do think that "The Narrow Road to the Deep North", more than any other written work, articulates and reveals the soul of Japan.